qubithubportfolio-optimization

Optimizes asset portfolio selection using the Quantum Approximate Optimization Algorithm (QAOA). Encodes the Markowitz mean-variance model as a QUBO: maximize returns (RZ), minimize correlated risk (RZZ), and enforce a budget constraint via quadratic penalty. Default: 4 assets, budget of 2, risk factor 0.5. Demonstrates the full QUBO-to-QAOA pipeline for financial optimization.

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Framework: Qiskit
Qubits: 4
Depth: 8
Gate set: H, RZZ, RX
Licence: Not specified
Version: v1
Updated: 3 days ago
Last run: 3 months ago

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circuit.py · Qiskit · depth 8

qubithub.toml · 348 B

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@software{qubithub_portfoliooptimization_2026,
  author = {QubitHub Circuits},
  title = {QAOA for Portfolio},
  year = {2026},
  version = {v1},
  url = {https://qubithub.co/qubithub/portfolio-optimization},
}

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